#Generative AI

81개의 포스트

[논문리뷰] Generation Models Know Space: Unleashing Implicit 3D Priors for Scene Understanding

arXiv에 게시된 'Generation Models Know Space: Unleashing Implicit 3D Priors for Scene Understanding' 논문에 대한 자세한 리뷰입니다.

#Review #Video Generation Models #3D Priors #Scene Understanding #Spatial Reasoning #Multimodal Large Language Models (MLLMs)#Latent World Simulator #Adaptive Gated Fusion #Generative AI

2026년 3월 19일

[논문리뷰] LLM2Vec-Gen: Generative Embeddings from Large Language Models

arXiv에 게시된 'LLM2Vec-Gen: Generative Embeddings from Large Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models #Text Embeddings #Generative AI #Self-Supervised Learning #Knowledge Distillation #Semantic Search #Retrieval-Augmented Generation

2026년 3월 11일

[논문리뷰] Just-in-Time: Training-Free Spatial Acceleration for Diffusion Transformers

Zhaoqiang Liu이 arXiv에 게시한 'Just-in-Time: Training-Free Spatial Acceleration for Diffusion Transformers' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Transformers #Spatial Acceleration #Training-Free #Generative AI #Flow Matching #ODE Solvers #Inference Speedup #Resource Allocation

2026년 3월 11일

[논문리뷰] CFG-Ctrl: Control-Based Classifier-Free Diffusion Guidance

arXiv에 게시된 'CFG-Ctrl: Control-Based Classifier-Free Diffusion Guidance' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Classifier-Free Guidance #Control Theory #Sliding Mode Control #Text-to-Image Generation #Flow Matching #Generative AI #Robustness

2026년 3월 3일

[논문리뷰] OmniLottie: Generating Vector Animations via Parameterized Lottie Tokens

arXiv에 게시된 'OmniLottie: Generating Vector Animations via Parameterized Lottie Tokens' 논문에 대한 자세한 리뷰입니다.

#Review #Vector Animation Generation #Lottie #Multimodal Instructions #Tokenizer #Vision-Language Models #Generative AI #Dataset

2026년 3월 2일

[논문리뷰] Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling

Jae-Gil Lee이 arXiv에 게시한 'Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Distributed Parallelism #Conditional Guidance #Adaptive Scheduling #Generative AI #Latency Reduction #Multi-GPU

2026년 2월 26일

[논문리뷰] SeaCache: Spectral-Evolution-Aware Cache for Accelerating Diffusion Models

Geonho Cha이 arXiv에 게시한 'SeaCache: Spectral-Evolution-Aware Cache for Accelerating Diffusion Models' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Model Acceleration #Feature Caching #Spectral Analysis #Generative AI #Image Generation #Video Generation #Latency Reduction

2026년 2월 25일

[논문리뷰] AAVGen: Precision Engineering of Adeno-associated Viral Capsids for Renal Selective Targeting

Yousof Gheisari이 arXiv에 게시한 'AAVGen: Precision Engineering of Adeno-associated Viral Capsids for Renal Selective Targeting' 논문에 대한 자세한 리뷰입니다.

#Review #Generative AI #Protein Language Model #Reinforcement Learning #AAV Capsid Engineering #Multi-objective Optimization #Renal Targeting #AlphaFold3 #ESM-2

2026년 2월 23일

[논문리뷰] Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models

Liwei Wang이 arXiv에 게시한 'Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Models #Generative AI #Understanding #Reason-Reflect-Refine (R3)#Reinforcement Learning (RL)#Text-to-Image Generation #Optimization Dilemma #Image Editing

2026년 2월 17일

[논문리뷰] Geometry-Aware Rotary Position Embedding for Consistent Video World Model

arXiv에 게시된 'Geometry-Aware Rotary Position Embedding for Consistent Video World Model' 논문에 대한 자세한 리뷰입니다.

#Review #Video World Model #Generative AI #Transformer #Positional Encoding #3D Consistency #View Synthesis #Sparse Attention #Loop Closure

2026년 2월 17일

[논문리뷰] FireRed-Image-Edit-1.0 Techinical Report

Cunzheng Wang이 arXiv에 게시한 'FireRed-Image-Edit-1.0 Techinical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Diffusion Transformer #Instruction-based Editing #Data Curation #Reinforcement Learning #Multimodal Models #REDEdit-Bench #Generative AI

2026년 2월 16일

[논문리뷰] Exposing the Systematic Vulnerability of Open-Weight Models to Prefill Attacks

arXiv에 게시된 'Exposing the Systematic Vulnerability of Open-Weight Models to Prefill Attacks' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models #Prefill Attacks #AI Safety #Red Teaming #Vulnerability #Open-Weight Models #Jailbreaking #Generative AI

2026년 2월 16일

[논문리뷰] QP-OneModel: A Unified Generative LLM for Multi-Task Query Understanding in Xiaohongshu Search

Hui Zhang이 arXiv에 게시한 'QP-OneModel: A Unified Generative LLM for Multi-Task Query Understanding in Xiaohongshu Search' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models (LLMs)#Query Understanding #Multi-Task Learning #Generative AI #Reinforcement Learning (RL)#Social Network Services (SNS)#Xiaohongshu #Search Engines

2026년 2월 11일

[논문리뷰] Semantic Routing: Exploring Multi-Layer LLM Feature Weighting for Diffusion Transformers

arXiv에 게시된 'Semantic Routing: Exploring Multi-Layer LLM Feature Weighting for Diffusion Transformers' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #LLM #Text-to-Image #Transformer #Semantic Routing #Feature Fusion #Dynamic Conditioning #Generative AI

2026년 2월 4일

[논문리뷰] Beyond Pixels: Visual Metaphor Transfer via Schema-Driven Agentic Reasoning

arXiv에 게시된 'Beyond Pixels: Visual Metaphor Transfer via Schema-Driven Agentic Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Visual Metaphor Transfer #Conceptual Blending Theory #Schema Grammar #Multi-Agent Framework #Generative AI #VLM #LLM #Creative AI

2026년 2월 2일

[논문리뷰] UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders

arXiv에 게시된 'UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders' 논문에 대한 자세한 리뷰입니다.

#Review #Feature Upsampling #Local Attender #Pixel-Dense Features #Iterative Upsampling #Vision Transformer #Efficiency #Generative AI #Semantic Segmentation

2026년 1월 28일

[논문리뷰] DRPG (Decompose, Retrieve, Plan, Generate): An Agentic Framework for Academic Rebuttal

Jiaxuan You이 arXiv에 게시한 'DRPG (Decompose, Retrieve, Plan, Generate): An Agentic Framework for Academic Rebuttal' 논문에 대한 자세한 리뷰입니다.

#Review #Academic Rebuttal #LLM Agents #Peer Review Automation #Generative AI #Retrieval-Augmented Generation (RAG)#Strategic Planning #Persuasion

2026년 1월 26일

[논문리뷰] DiffThinker: Towards Generative Multimodal Reasoning with Diffusion Models

Siyuan Huang이 arXiv에 게시한 'DiffThinker: Towards Generative Multimodal Reasoning with Diffusion Models' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Reasoning #Diffusion Models #Image-to-Image Generation #Vision-centric AI #Generative AI #Spatial Planning #Constraint Satisfaction

2026년 1월 1일

[논문리뷰] Guiding a Diffusion Transformer with the Internal Dynamics of Itself

arXiv에 게시된 'Guiding a Diffusion Transformer with the Internal Dynamics of Itself' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Transformer #Generative AI #Image Generation #Guidance Strategy #Internal Guidance #Auxiliary Loss #Classifier-Free Guidance

2025년 12월 31일

[논문리뷰] SemanticGen: Video Generation in Semantic Space

arXiv에 게시된 'SemanticGen: Video Generation in Semantic Space' 논문에 대한 자세한 리뷰입니다.

#Review #Video Generation #Semantic Space #Diffusion Models #VAE Latents #Long Video Generation #Semantic Encoders #Generative AI

2025년 12월 23일

[논문리뷰] Active Intelligence in Video Avatars via Closed-loop World Modeling

Cheng Meng이 arXiv에 게시한 'Active Intelligence in Video Avatars via Closed-loop World Modeling' 논문에 대한 자세한 리뷰입니다.

#Review #Video Avatars #Active Intelligence #World Models #Closed-loop Reasoning #POMDP #Generative AI #Hierarchical Planning #Cognitive Architecture

2025년 12월 23일

[논문리뷰] Turn-PPO: Turn-Level Advantage Estimation with PPO for Improved Multi-Turn RL in Agentic LLMs

Lihong Li이 arXiv에 게시한 'Turn-PPO: Turn-Level Advantage Estimation with PPO for Improved Multi-Turn RL in Agentic LLMs' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Turn Reinforcement Learning #LLM Agents #Proximal Policy Optimization (PPO)#Turn-Level MDP #Advantage Estimation #Generative AI #Deep Reinforcement Learning

2025년 12월 21일

[논문리뷰] 3D-RE-GEN: 3D Reconstruction of Indoor Scenes with a Generative Framework

Hendrik P. A. Lensch이 arXiv에 게시한 '3D-RE-GEN: 3D Reconstruction of Indoor Scenes with a Generative Framework' 논문에 대한 자세한 리뷰입니다.

#Review #3D Reconstruction #Generative AI #Indoor Scenes #Compositional Framework #Differentiable Rendering #Image-to-3D #VFX #Game Development

2025년 12월 21일

[논문리뷰] Kling-Omni Technical Report

arXiv에 게시된 'Kling-Omni Technical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Video Generation #Multimodal Visual Language #Generative AI #Video Editing #Reasoning-enhanced Generation #Diffusion Transformer #Multi-modal World Simulators

2025년 12월 18일

[논문리뷰] Generative Refocusing: Flexible Defocus Control from a Single Image

Yu-Lun Liu이 arXiv에 게시한 'Generative Refocusing: Flexible Defocus Control from a Single Image' 논문에 대한 자세한 리뷰입니다.

#Review #Generative AI #Image Refocusing #Defocus Deblurring #Bokeh Synthesis #Depth of Field Control #Semi-Supervised Learning #Diffusion Models #Aperture Shape Control

2025년 12월 18일

[논문리뷰] Learning Unmasking Policies for Diffusion Language Models

arXiv에 게시된 'Learning Unmasking Policies for Diffusion Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Language Models #Reinforcement Learning #Masked Diffusion #Sampling Policy #Inference Optimization #Markov Decision Process #Generative AI #Text Generation

2025년 12월 10일

[논문리뷰] NeuralRemaster: Phase-Preserving Diffusion for Structure-Aligned Generation

Vitor Guizilini이 arXiv에 게시한 'NeuralRemaster: Phase-Preserving Diffusion for Structure-Aligned Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Phase Preservation #Frequency Domain #Structure-Aligned Generation #Image-to-Image Translation #Sim-to-Real #Generative AI

2025년 12월 4일

[논문리뷰] Aligned but Stereotypical? The Hidden Influence of System Prompts on Social Bias in LVLM-Based Text-to-Image Models

arXiv에 게시된 'Aligned but Stereotypical? The Hidden Influence of System Prompts on Social Bias in LVLM-Based Text-to-Image Models' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image #LVLM #Social Bias #System Prompts #Bias Mitigation #Meta-Prompting #Fairness #Generative AI

2025년 12월 4일

[논문리뷰] MRI Super-Resolution with Deep Learning: A Comprehensive Survey

arXiv에 게시된 'MRI Super-Resolution with Deep Learning: A Comprehensive Survey' 논문에 대한 자세한 리뷰입니다.

#Review #MRI Super-Resolution #Deep Learning #Computational Imaging #Inverse Problems #Generative AI #Medical Imaging #Survey

2025년 11월 30일

[논문리뷰] Harmony: Harmonizing Audio and Video Generation through Cross-Task Synergy

arXiv에 게시된 'Harmony: Harmonizing Audio and Video Generation through Cross-Task Synergy' 논문에 대한 자세한 리뷰입니다.

#Review #Audio-Visual Generation #Cross-Modal Synchronization #Diffusion Models #Cross-Task Synergy #Classifier-Free Guidance #Multimodal AI #Generative AI

2025년 11월 26일

[논문리뷰] Yo'City: Personalized and Boundless 3D Realistic City Scene Generation via Self-Critic Expansion

Zhifei Yang이 arXiv에 게시한 'Yo'City: Personalized and Boundless 3D Realistic City Scene Generation via Self-Critic Expansion' 논문에 대한 자세한 리뷰입니다.

#Review #3D City Generation #Generative AI #Large Language Models #Vision-Language Models #Multi-Agent Framework #Self-Critic Learning #Scene Graph #Text-to-3D

2025년 11월 25일

[논문리뷰] Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning

arXiv에 게시된 'Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Self-Evolving Agent #Vision-Language Models #Tool-Integrated Reasoning #Reinforcement Learning #Self-Correction #Multimodal AI #Generative AI

2025년 11월 25일

[논문리뷰] Controllable Layer Decomposition for Reversible Multi-Layer Image Generation

arXiv에 게시된 'Controllable Layer Decomposition for Reversible Multi-Layer Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Controllable Layer Decomposition #Diffusion Models #Multi-Layer Image Generation #Layer Separation #Bounding Box Guidance #Generative AI #Image Editing

2025년 11월 24일

[논문리뷰] WorldGen: From Text to Traversable and Interactive 3D Worlds

arXiv에 게시된 'WorldGen: From Text to Traversable and Interactive 3D Worlds' 논문에 대한 자세한 리뷰입니다.

#Review #3D World Generation #Text-to-3D #Generative AI #Procedural Generation #Scene Decomposition #Navmesh #Game Engines #Interactive Environments

2025년 11월 23일

[논문리뷰] Loomis Painter: Reconstructing the Painting Process

arXiv에 게시된 'Loomis Painter: Reconstructing the Painting Process' 논문에 대한 자세한 리뷰입니다.

#Review #Painting Process Generation #Video Diffusion Models #Media Transfer #Reverse Painting #Dataset Curation #Perceptual Distance Profile #Artistic Workflow #Generative AI

2025년 11월 23일

[논문리뷰] A Style is Worth One Code: Unlocking Code-to-Style Image Generation with Discrete Style Space

arXiv에 게시된 'A Style is Worth One Code: Unlocking Code-to-Style Image Generation with Discrete Style Space' 논문에 대한 자세한 리뷰입니다.

#Review #Code-to-Style Generation #Discrete Style Space #Style Codebook #Autoregressive Model #Diffusion Models #Visual Stylization #Generative AI

2025년 11월 18일

[논문리뷰] Simulating the Visual World with Artificial Intelligence: A Roadmap

Pengfei Wan이 arXiv에 게시한 'Simulating the Visual World with Artificial Intelligence: A Roadmap' 논문에 대한 자세한 리뷰입니다.

#Review #World Models #Video Generation #AI Simulation #Generative AI #Physical Plausibility #Interactive AI #Planning #Roadmap

2025년 11월 16일

[논문리뷰] Benchmarking Diversity in Image Generation via Attribute-Conditional Human Evaluation

arXiv에 게시된 'Benchmarking Diversity in Image Generation via Attribute-Conditional Human Evaluation' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Models #Diversity Evaluation #Human Evaluation #Attribute-Conditional #Vendi Score #Generative AI #Benchmarking

2025년 11월 13일

[논문리뷰] MADD: Multi-Agent Drug Discovery Orchestra

arXiv에 게시된 'MADD: Multi-Agent Drug Discovery Orchestra' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent System #Drug Discovery #LLM #Hit Identification #Virtual Screening #Generative AI #Property Prediction #Automated Machine Learning

2025년 11월 12일

[논문리뷰] Optimizing Diversity and Quality through Base-Aligned Model Collaboration

Jonathan May이 arXiv에 게시한 'Optimizing Diversity and Quality through Base-Aligned Model Collaboration' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models #Generative AI #Diversity-Quality Trade-off #Model Collaboration #Inference Optimization #Routing Strategy #Text Generation

2025년 11월 11일

[논문리뷰] KLASS: KL-Guided Fast Inference in Masked Diffusion Models

arXiv에 게시된 'KLASS: KL-Guided Fast Inference in Masked Diffusion Models' 논문에 대한 자세한 리뷰입니다.

#Review #Masked Diffusion Models #Fast Inference #Adaptive Sampling #KL Divergence #Confidence Score #Generative AI #Efficient Sampling

2025년 11월 11일

[논문리뷰] EVTAR: End-to-End Try on with Additional Unpaired Visual Reference

arXiv에 게시된 'EVTAR: End-to-End Try on with Additional Unpaired Visual Reference' 논문에 대한 자세한 리뷰입니다.

#Review #Virtual Try-on #Diffusion Models #End-to-End Learning #Reference Images #Unpaired Data #Flow Matching #Transformer Architecture #Generative AI

2025년 11월 9일

[논문리뷰] Let Multimodal Embedders Learn When to Augment Query via Adaptive Query Augmentation

Jaehyun Park이 arXiv에 게시한 'Let Multimodal Embedders Learn When to Augment Query via Adaptive Query Augmentation' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Embedders #Query Augmentation #Adaptive Learning #Multimodal LLM #Information Retrieval #Generative AI #Embedding Latency

2025년 11월 9일

[논문리뷰] RiddleBench: A New Generative Reasoning Benchmark for LLMs

arXiv에 게시된 'RiddleBench: A New Generative Reasoning Benchmark for LLMs' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Reasoning #Generative AI #Benchmark #Logical Deduction #Spatial Reasoning #Constraint Satisfaction #Hallucination Cascade #Self-Correction

2025년 11월 9일

[논문리뷰] LTD-Bench: Evaluating Large Language Models by Letting Them Draw

arXiv에 게시된 'LTD-Bench: Evaluating Large Language Models by Letting Them Draw' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Evaluation #Spatial Reasoning #Benchmark #Generative AI #Visual Perception #Spatial Imagination #Code Generation

2025년 11월 9일

[논문리뷰] UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings

Jinsong Su이 arXiv에 게시한 'UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Embeddings #Generative AI #Reasoning #Reinforcement Learning #MLLMs #Supervised Fine-tuning #Information Retrieval #Unified Embeddings

2025년 11월 9일

[논문리뷰] The Principles of Diffusion Models

Stefano Ermon이 arXiv에 게시한 'The Principles of Diffusion Models' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Generative AI #Variational Autoencoder #Energy-Based Models #Normalizing Flows #Score-Based SDEs #Flow Matching #Fokker-Planck Equation

2025년 10월 30일

[논문리뷰] ODesign: A World Model for Biomolecular Interaction Design

Qinghan Wang이 arXiv에 게시한 'ODesign: A World Model for Biomolecular Interaction Design' 논문에 대한 자세한 리뷰입니다.

#Review #Biomolecular Interaction Design #Generative AI #World Model #Multimodal Molecular Design #All-atom Generation #Diffusion Models #Protein Design #Nucleic Acid Design

2025년 10월 30일

[논문리뷰] From Masks to Worlds: A Hitchhiker's Guide to World Models

Shufan Li이 arXiv에 게시한 'From Masks to Worlds: A Hitchhiker's Guide to World Models' 논문에 대한 자세한 리뷰입니다.

#Review #World Models #Generative AI #Multimodal Learning #Masked Modeling #Interactive AI #Memory Systems #Autonomous Agents #AI Roadmap

2025년 10월 24일

[논문리뷰] Ponimator: Unfolding Interactive Pose for Versatile Human-human Interaction Animation

arXiv에 게시된 'Ponimator: Unfolding Interactive Pose for Versatile Human-human Interaction Animation' 논문에 대한 자세한 리뷰입니다.

#Review #Human-human Interaction #Pose Animation #Diffusion Models #Generative AI #Motion Synthesis #Interactive Poses #Temporal Priors #Spatial Priors

2025년 10월 17일

[논문리뷰] Efficient Parallel Samplers for Recurrent-Depth Models and Their Connection to Diffusion Language Models

arXiv에 게시된 'Efficient Parallel Samplers for Recurrent-Depth Models and Their Connection to Diffusion Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #Recurrent-Depth Models #Diffusion Forcing #Parallel Sampling #LLM Inference Acceleration #Transformer Architectures #Generative AI #Latent Space Diffusion

2025년 10월 17일

[논문리뷰] Attention Is All You Need for KV Cache in Diffusion LLMs

arXiv에 게시된 'Attention Is All You Need for KV Cache in Diffusion LLMs' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion LLMs #KV Cache #Adaptive Caching #Inference Optimization #Attention Mechanism #Latency Reduction #Generative AI

2025년 10월 17일

[논문리뷰] TC-LoRA: Temporally Modulated Conditional LoRA for Adaptive Diffusion Control

Adityan Jothi이 arXiv에 게시한 'TC-LoRA: Temporally Modulated Conditional LoRA for Adaptive Diffusion Control' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Conditional Generation #LoRA #Hypernetwork #Dynamic Weight Adaptation #Generative AI #Controllable Generation

2025년 10월 13일

[논문리뷰] Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs

arXiv에 게시된 'Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal AI #Prompt Optimization #MLLMs #Bayesian Optimization #Cross-modal Alignment #Prompt Engineering #Generative AI #Exploration-Exploitation

2025년 10월 13일

[논문리뷰] Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding

arXiv에 게시된 'Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-modal LLM #Discrete Diffusion #Image Generation #Image Understanding #Omni-modal #Interactive Retouching #Generative AI #Reinforcement Learning

2025년 10월 9일

[논문리뷰] D^3QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection

Yueqi Duan이 arXiv에 게시한 'D^3QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection' 논문에 대한 자세한 리뷰입니다.

#Review #Autoregressive Models #Image Detection #Discrete Distribution Discrepancy #Quantization Error #Transformer #Generative AI #Deepfake Detection

2025년 10월 9일

[논문리뷰] AInstein: Assessing the Feasibility of AI-Generated Approaches to Research Problems

Jose Dolz이 arXiv에 게시한 'AInstein: Assessing the Feasibility of AI-Generated Approaches to Research Problems' 논문에 대한 자세한 리뷰입니다.

#Review #LLM #Scientific Problem Solving #AI Research #Iterative Refinement #Autonomous Agents #Generative AI #Evaluation Framework #Problem Extraction

2025년 10월 8일

[논문리뷰] How Confident are Video Models? Empowering Video Models to Express their Uncertainty

Anirudha Majumdar이 arXiv에 게시한 'How Confident are Video Models? Empowering Video Models to Express their Uncertainty' 논문에 대한 자세한 리뷰입니다.

#Review #Video Generation #Uncertainty Quantification #Aleatoric Uncertainty #Epistemic Uncertainty #Model Calibration #Text-to-Video #Generative AI #VMF Distribution

2025년 10월 6일

[논문리뷰] Voice Evaluation of Reasoning Ability: Diagnosing the Modality-Induced Performance Gap

Hengfan Zhang이 arXiv에 게시한 'Voice Evaluation of Reasoning Ability: Diagnosing the Modality-Induced Performance Gap' 논문에 대한 자세한 리뷰입니다.

#Review #Voice AI #LLM #Reasoning #Benchmark #Modality Gap #Latency #Speech Recognition #Generative AI #Real-time Systems #Conversational AI

2025년 10월 1일

[논문리뷰] HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models

Romann M. Weber이 arXiv에 게시한 'HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Sampling #Generative AI #Image Generation #Plug-and-Play #Training-Free #Guidance #Momentum-Based Methods

2025년 9월 29일

[논문리뷰] SD3.5-Flash: Distribution-Guided Distillation of Generative Flows

Yi-Zhe Song이 arXiv에 게시한 'SD3.5-Flash: Distribution-Guided Distillation of Generative Flows' 논문에 대한 자세한 리뷰입니다.

#Review #Generative AI #Image Generation #Diffusion Models #Rectified Flow #Model Distillation #Few-Step Generation #Computational Efficiency #Prompt Alignment

2025년 9월 26일

[논문리뷰] CHARM: Control-point-based 3D Anime Hairstyle Auto-Regressive Modeling

Yushi Bai이 arXiv에 게시한 'CHARM: Control-point-based 3D Anime Hairstyle Auto-Regressive Modeling' 논문에 대한 자세한 리뷰입니다.

#Review #3D Anime Hairstyle #Autoregressive Modeling #Control Points #Parametric Representation #Transformer #Generative AI #Dataset (AnimeHair)#Computer Graphics

2025년 9월 26일

[논문리뷰] Video models are zero-shot learners and reasoners

rgeirhos이 arXiv에 게시한 'Video models are zero-shot learners and reasoners' 논문에 대한 자세한 리뷰입니다.

#Review #Video Models #Zero-shot Learning #Visual Reasoning #Foundation Models #Generative AI #Perception #Manipulation #Modeling

2025년 9월 25일

[논문리뷰] LLMs4All: A Review on Large Language Models for Research and Applications in Academic Disciplines

Yanfang이 arXiv에 게시한 'LLMs4All: A Review on Large Language Models for Research and Applications in Academic Disciplines' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models #Generative AI #Academic Disciplines #LLM Applications #Review #Cross-disciplinary Research #Benchmarks

2025년 9월 25일

[논문리뷰] Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation

Yifeng Jiang이 arXiv에 게시한 'Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation' 논문에 대한 자세한 리뷰입니다.

#Review #Generative AI #3D Scene Reconstruction #Video Diffusion Models #Self-Distillation #3D Gaussian Splatting #Dynamic 4D Generation #Monocular Input

2025년 9월 24일

[논문리뷰] Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generation

Lixin Xu이 arXiv에 게시한 'Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generation' 논문에 대한 자세한 리뷰입니다.

#Review #3D Asset Generation #AI Pipeline #Generative AI #Game Development #Diffusion Models #Neural Modules #Retopology #UV Unwrapping

2025년 9월 17일

[논문리뷰] 3D Aware Region Prompted Vision Language Model

Xiaolong Li이 arXiv에 게시한 '3D Aware Region Prompted Vision Language Model' 논문에 대한 자세한 리뷰입니다.

#Review #3D Vision #Vision-Language Models #Spatial Reasoning #Region Prompting #Multi-view Learning #Depth Estimation #Unified Representation #Generative AI

2025년 9월 17일

[논문리뷰] X-Part: high fidelity and structure coherent shape decomposition

Yunhan Yang이 arXiv에 게시한 'X-Part: high fidelity and structure coherent shape decomposition' 논문에 대한 자세한 리뷰입니다.

#Review #3D Shape Decomposition #Diffusion Models #Part-level Generation #Controllable Generation #Bounding Box Prompts #Semantic Features #Interactive Editing #Generative AI

2025년 9월 15일

[논문리뷰] InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis

Song Guo이 arXiv에 게시한 'InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis' 논문에 대한 자세한 리뷰입니다.

#Review #Image Synthesis #Resolution-Agnostic #Diffusion Models #Latent Space #VAE Decoder #High-Resolution Image Generation #Generative AI #Transformer Architecture

2025년 9월 15일

[논문리뷰] Jointly Reinforcing Diversity and Quality in Language Model Generations

Tianlu이 arXiv에 게시한 'Jointly Reinforcing Diversity and Quality in Language Model Generations' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Language Models #Diversity Optimization #Quality Enhancement #Semantic Clustering #Post-training #Generative AI

2025년 9월 3일

[논문리뷰] Dress&Dance: Dress up and Dance as You Like It - Technical Preview

Yu-Xiong Wang이 arXiv에 게시한 'Dress&Dance: Dress up and Dance as You Like It - Technical Preview' 논문에 대한 자세한 리뷰입니다.

#Review #Virtual Try-On #Video Diffusion #Multi-modal Conditioning #Garment Transfer #Pose Animation #Generative AI #Fashion Tech #CondNet

2025년 8월 29일

[논문리뷰] Visual-CoG: Stage-Aware Reinforcement Learning with Chain of Guidance for Text-to-Image Generation

Haoxiang Shi이 arXiv에 게시한 'Visual-CoG: Stage-Aware Reinforcement Learning with Chain of Guidance for Text-to-Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Reinforcement Learning #Chain of Thought #Multimodal LLMs #Stage-Aware Rewards #Semantic Reasoning #Generative AI

2025년 8월 26일

[논문리뷰] TempFlow-GRPO: When Timing Matters for GRPO in Flow Models

Jian Yang이 arXiv에 게시한 'TempFlow-GRPO: When Timing Matters for GRPO in Flow Models' 논문에 대한 자세한 리뷰입니다.

#Review #Flow Matching #Reinforcement Learning #Human Preference Alignment #GRPO #Temporal Credit Assignment #Generative AI #Text-to-Image

2025년 8월 20일

[논문리뷰] OmniTry: Virtual Try-On Anything without Masks

Xiaoduan Feng이 arXiv에 게시한 'OmniTry: Virtual Try-On Anything without Masks' 논문에 대한 자세한 리뷰입니다.

#Review #Virtual Try-On #Diffusion Model #Mask-Free #Image Inpainting #ID Consistency #Wearable Objects #Generative AI

2025년 8월 20일

[논문리뷰] StyleMM: Stylized 3D Morphable Face Model via Text-Driven Aligned Image Translation

Junyong Noh이 arXiv에 게시한 'StyleMM: Stylized 3D Morphable Face Model via Text-Driven Aligned Image Translation' 논문에 대한 자세한 리뷰입니다.

#Review #3D Morphable Model #Face Stylization #Text-to-Image Translation #Diffusion Model #Attribute Preservation #Generative AI #Computer Graphics

2025년 8월 18일

[논문리뷰] ToonComposer: Streamlining Cartoon Production with Generative Post-Keyframing

Xiaoyu Li이 arXiv에 게시한 'ToonComposer: Streamlining Cartoon Production with Generative Post-Keyframing' 논문에 대한 자세한 리뷰입니다.

#Review #Cartoon Generation #Video Diffusion Models #DiT #Post-Keyframing #Low-Rank Adaptation #Sparse Control #Generative AI #Animation

2025년 8월 15일

[논문리뷰] A Survey on Diffusion Language Models

Zhiqiang Shen이 arXiv에 게시한 'A Survey on Diffusion Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Language Models #Generative AI #Parallel Decoding #Text Generation #Multimodal AI #Model Compression #Reinforcement Learning from Human Feedback #Inference Optimization

2025년 8월 15일

[논문리뷰] Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models

Zeynep Akata이 arXiv에 게시한 'Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Hypernetworks #Test-Time Optimization #Reward-Guided Generation #Latent Space Optimization #LoRA #Generative AI

2025년 8월 14일

[논문리뷰] Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future

Qiufeng Wang이 arXiv에 게시한 'Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future' 논문에 대한 자세한 리뷰입니다.

#Review #Self-Rewarding LLMs #Direct Preference Optimization (DPO)#Preference Learning #Generative AI #Gradient Collapse #LLM Alignment #Iterative Optimization

2025년 8월 12일

[논문리뷰] Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off

jgkwak이 arXiv에 게시한 'Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off' 논문에 대한 자세한 리뷰입니다.

#Review #Virtual Try-On #Virtual Try-Off #Diffusion Transformer #Bidirectional Learning #Generative AI #Fashion Synthesis #Attention Mechanism #Self-Correction

2025년 8월 11일

[논문리뷰] Personalized Safety Alignment for Text-to-Image Diffusion Models

Kaidong Yu이 arXiv에 게시한 'Personalized Safety Alignment for Text-to-Image Diffusion Models' 논문에 대한 자세한 리뷰입니다.

#Review #Personalized Safety Alignment #Text-to-Image Diffusion Models #DPO #User Preferences #Content Moderation #Generative AI #Cross-Attention #Safety Alignment

2025년 8월 5일